Knowledge-Driven Agent
An agent architecture with organizational context understanding, achieved by connecting large language models to internal knowledge graphs or ontology systems. This enables the model to access governed, organization-specific structured business knowledge during inference, rather than relying solely on general world knowledge encoded in model parameters.
Timeline (last 90 days)
The industry refers to agent architectures with organizational context understanding capabilities as knowledge-driven agents or semantic agents.
The core difference between knowledge-driven agents and general large language models is that, at inference time, the former draws on governed, organization-specific structured business knowledge rather than solely the general world knowledge encoded in model parameters.
All Facts (2)
The industry refers to agent architectures with organizational context understanding capabilities as knowledge-driven agents or semantic agents.
50%UnverifiedThe core difference between knowledge-driven agents and general large language models is that, at inference time, the former draws on governed, organization-specific structured business knowledge rather than solely the general world knowledge encoded in model parameters.
50%